Master Real-World Research Studies: From Data Collection to Published Manuscript

No, our course is designed to take you from zero to hero. We start with the basics and gradually build up to more complex topics. All you need is a willingness to learn.

The course duration varies depending on your pace of learning (total=8 hours of recorded videos). However, we recommend setting aside a few hours each week to get the most out of the course.

Real-world datasets (RWD) are data collected from routine, everyday settings, such as electronic health records, insurance claims, registries, or wearable devices, rather than controlled experimental environments like clinical trials. They reflect diverse populations and real-life conditions, making them highly generalizable but often messy, incomplete, and subject to bias. RWD are the foundation for Real-World Evidence (RWE), which helps researchers evaluate how interventions perform in practice, assess long-term outcomes, and inform clinical and policy decisions, though they require careful preprocessing and advanced analytical methods to address confounding and data quality issues.